Guide
How can AI tools help localize video ads for different markets?
, 6 min read
AI tools offer various capabilities to localize video ads for new languages and regions. These tools can translate text, generate new voice-overs, and help adapt visual elements to suit different cultural contexts. By leveraging artificial intelligence, marketers can streamline the process of preparing video ad content for diverse global audiences.

The short version
- Generative AI from Google Ads and Google Cloud can create high-quality, lifelike voice-overs for video ads in multiple languages.
- AI can analyze video content to help adapt visuals and ensure cultural relevance.
- Advanced AI translation models can capture nuanced style, tone, and voice for accurate localization.
How can AI translate ad text and visuals?
Google Ads documents an AI campaign localization tool that can help translate text, images, targeting, and landing pages for Search campaigns with a few clicks. This tool aims to reduce the time typically spent on manual translation and spreadsheet uploads.
To maintain accuracy and brand consistency, Google Ads documents that its AI campaign localization tool for Search campaigns includes a review table. This review table provides 4 columns: Original asset : Your original English text. Translated asset : The new text in the target language. Translation back : The translated asset is translated back into English, allowing you to verify that the meaning and intent remain accurate.
More broadly, AI translation services, such as Google Cloud Translation API, can translate text across 189 languages. These services leverage pre-trained and custom translation models, including Gemini-powered Adaptive Translation. Adaptive Translation is designed to create nuanced, high-quality translations that capture the unique style, tone, and voice of the original content, which is crucial for effective ad localization.
How can AI generate localized voice-overs for video ads?
Google Ads offers a free voice-over feature for existing video advertisers to add high-quality, lifelike text-to-speech voice-over. This feature can be used to enhance an existing video by adding voice-over, or to create a new audio ad with voice-over, images, and stock music. Users can select a language, voice type, and voice-over volume for their voice-overs.
When using the Google Ads voice-over tool, each voice-over message can contain up to 150 characters. Your voice-over messages can’t overlap, so your next voice-over will begin only when the current one ends. You can preview the generated video with voice-over by selecting Load preview.
For more comprehensive video dubbing, a combination of AI services can be used. Google Cloud documents that dubbing a video in a foreign language requires the Cloud Speech-to-Text, Translation, and Text-to-Speech APIs. The Speech-to-Text API can transcribe video or audio with high accuracy, supporting speech recognition in 145 languages. This transcription is then translated by the Translation API. Finally, the Cloud Text-to-Speech API synthesizes custom, lifelike speech in over 380 voices across more than 50 languages, creating the new localized voice-over.
How can AI adapt video content for cultural relevance?
AI can help adapt video content for cultural relevance by understanding the visual elements within a video. Google Cloud's Video Intelligence API uses pre-trained machine learning models that automatically recognize a vast number of objects, places, and actions in both stored and streaming video. This API can identify over 20,000 different objects, places, and actions.
By extracting rich metadata at the video, shot, or frame level, AI can provide insights into the content of an ad. This understanding can inform decisions about adapting visuals to better resonate with specific cultural contexts. Furthermore, this AI capability can be used to identify appropriate locations within videos to insert ads that are contextually relevant to the video content. This is achieved by matching timeframe-specific labels of the video content with the content of the advertisements. While not direct visual localization, understanding context is a key part of ensuring an ad is well-received in a particular market. Users can also get 1,000 free minutes of stored video and 1,000 free minutes of streamed video each month with this service.
What are the steps to localize video ad audio with AI?
Localizing video ad audio with AI can be approached in different ways, depending on the desired level of control and complexity. For a straightforward approach, Google Ads provides a built-in voice-over tool for Video campaigns.
To use the Google Ads voice-over tool, you first choose whether to enhance an existing video by adding voice-over or to create a new audio ad. Next, you select the desired language, voice type, and voice-over volume. You then input your voice-over messages, keeping each message to a maximum of 150 characters. Your voice-over messages can’t overlap, so your next voice-over will begin only when the current one ends. You can preview the generated video with voice-over by selecting Load preview.
For more advanced dubbing that involves translating and synthesizing speech from scratch, a multi-step process using Google Cloud APIs is available. First, the Cloud Speech-to-Text API transcribes the original audio from your video into a text file. This API supports speech recognition in 145 languages. Second, the Cloud Translation API translates this transcribed text into your target language. Third, the Cloud Text-to-Speech API synthesizes the translated text into custom, lifelike speech, offering over 380 voices across more than 50 languages. These synthesized audio files can then be integrated into your video to create a fully localized version.
How can AI ensure translation accuracy and nuance?
Ensuring accuracy and capturing cultural nuances are critical for effective ad localization. Google Ads documents that its AI campaign localization tool for Search campaigns includes a review table to help users verify and refine translations. For example, when localizing a Search campaign, the review table provides a "Translation back" column. This column shows the translated asset re-translated into the original language, allowing users to confirm that the meaning and intent of the message have been accurately preserved.
Advanced AI translation models, such as those available through Google Cloud Translation API, are designed to achieve nuanced accuracy. These services leverage pre-trained and custom translation models, including Gemini-powered Adaptive Translation. Adaptive Translation specifically helps create high-quality translations that capture the unique style, tone, and voice of the content, moving beyond literal translation to deliver culturally appropriate messaging.
Common questions
- What types of ad campaigns can AI localize?
- Google Ads documents an AI campaign localization tool specifically for Search campaigns, which can translate text, images, targeting, and landing pages. For video ads, Google Ads offers tools to generate localized voice-overs, and Google Cloud APIs can help adapt visual content.
- How many languages does AI support for translation?
- AI translation services, such as Google Cloud Translation API, can translate across 189 languages. For speech recognition, the Cloud Speech-to-Text API supports 145 languages, and the Cloud Text-to-Speech API can synthesize speech in over 380 voices across more than 50 languages.
- How can I ensure the AI translation matches my brand's tone?
- Advanced AI translation models like Google Cloud's Adaptive Translation are designed to create nuanced, high-quality translations that capture the unique style, tone, and voice of your content, helping to ensure the AI translation matches your brand's tone.
- Can AI help identify culturally relevant content in videos?
- Yes, AI can help understand video content. Google Cloud's Video Intelligence API uses machine learning models to recognize over 20,000 objects, places, and actions in video. This capability allows for the extraction of rich metadata that can inform decisions about adapting visuals to be culturally appropriate or contextually relevant for different markets.
Primary sources
This article was researched and written by an AI model and published automatically. It was written from sentences that were checked to appear on the pages below, but a person has not reviewed the text. If something is wrong, tell us at leetcv@darthwares.com and we will correct it.